Takayoshi Suganami

12.3k total citations · 3 hit papers
121 papers, 9.6k citations indexed

About

Takayoshi Suganami is a scholar working on Epidemiology, Molecular Biology and Physiology. According to data from OpenAlex, Takayoshi Suganami has authored 121 papers receiving a total of 9.6k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Epidemiology, 38 papers in Molecular Biology and 38 papers in Physiology. Recurrent topics in Takayoshi Suganami's work include Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (32 papers) and Liver Disease Diagnosis and Treatment (19 papers). Takayoshi Suganami is often cited by papers focused on Adipose Tissue and Metabolism (34 papers), Adipokines, Inflammation, and Metabolic Diseases (32 papers) and Liver Disease Diagnosis and Treatment (19 papers). Takayoshi Suganami collaborates with scholars based in Japan, United States and United Kingdom. Takayoshi Suganami's co-authors include Yoshihiro Ogawa, Junko Nishida, Miyako Tanaka, Michiko Itoh, Yasutomi Kamei, Masashi Mukoyama, Kiyoshi Mori, Akira Sugawara, Kazuwa Nakao and Seiichiro Aoe and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Takayoshi Suganami

120 papers receiving 9.4k citations

Hit Papers

3 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A Paracrine Loop Between Adipocytes and Macrophages Aggravates Inflammatory Changes

2005 843 citations Takayoshi Suganami, Yoshihiro Ogawa et al. profile →
Endocytic delivery of lipocalin-siderophore-iron complex rescues the kidney from ischemia-reperfusion injury

2005 746 citations Kiyoshi Mori, Takayoshi Suganami et al. profile →
Role of the Toll-like Receptor 4/NF-κB Pathway in Saturated Fatty Acid–Induced Inflammatory Changes in the Interaction Between Adipocytes and Macrophages

2006 641 citations Takayoshi Suganami, Michiko Itoh et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Takayoshi Suganami Japan	54	3.3k	3.0k	2.5k	1.2k	1.2k	121	9.6k
Vishwa Deep Dixit United States	52	3.9k 1.2×	4.4k 1.5×	5.1k 2.0×	3.0k 2.4×	732 0.6×	96	13.5k
János G. Filep Canada	59	1.4k 0.4×	2.9k 1.0×	1.8k 0.7×	2.8k 2.2×	729 0.6×	196	9.0k
Joan Vendrell Spain	57	3.4k 1.0×	3.5k 1.2×	3.2k 1.3×	1.4k 1.1×	203 0.2×	250	10.5k
Shi Fang Yan United States	59	1.3k 0.4×	3.8k 1.3×	2.8k 1.1×	1.9k 1.5×	853 0.7×	105	14.1k
Yan Chun Li United States	58	1.6k 0.5×	2.6k 0.9×	1.5k 0.6×	941 0.8×	2.2k 1.8×	127	13.7k
Massimo Federici Italy	62	1.9k 0.6×	5.1k 1.7×	2.4k 1.0×	1.3k 1.0×	282 0.2×	253	11.1k
Grant R. Drummond Australia	62	1.4k 0.4×	3.5k 1.2×	3.3k 1.3×	3.4k 2.7×	351 0.3×	192	12.5k
Hitoshi Nishizawa Japan	50	7.7k 2.3×	3.2k 1.1×	5.1k 2.0×	1.2k 1.0×	551 0.5×	162	13.2k
Norikazu Maeda Japan	54	8.0k 2.4×	3.6k 1.2×	5.4k 2.2×	1.3k 1.0×	551 0.5×	126	13.6k
Yasuhiko Yamamoto Japan	48	1.1k 0.3×	2.3k 0.8×	1.3k 0.5×	1.6k 1.3×	751 0.6×	194	9.3k

Countries citing papers authored by Takayoshi Suganami

Since Specialization

Citations

This map shows the geographic impact of Takayoshi Suganami's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Takayoshi Suganami with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takayoshi Suganami more than expected).

Fields of papers citing papers by Takayoshi Suganami

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Takayoshi Suganami. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Takayoshi Suganami. The network helps show where Takayoshi Suganami may publish in the future.

Co-authorship network of co-authors of Takayoshi Suganami

This figure shows the co-authorship network connecting the top 25 collaborators of Takayoshi Suganami. A scholar is included among the top collaborators of Takayoshi Suganami based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takayoshi Suganami. Takayoshi Suganami is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tanaka, Miyako, Yuki Sugiura, Xunmei Yuan, et al.. (2025). Altered glycolipid metabolism during acute kidney injury exacerbates renal inflammation. Scientific Reports. 16(1). 147–147.

Ishihara, Toshikazu, Katsuhiro Kato, Miyako Tanaka, et al.. (2024). Meflin/ISLR is a marker of adipose stem and progenitor cells in mice and humans that suppresses white adipose tissue remodeling and fibrosis. Genes to Cells. 29(10). 902–920. 2 indexed citations

Kato, Hisashi, Hajime Yamakage, Satoshi Saitô, et al.. (2023). Taxifolin Suppresses Inflammatory Responses of High-Glucose-Stimulated Mouse Microglia by Attenuating the TXNIP–NLRP3 Axis. Nutrients. 15(12). 2738–2738. 20 indexed citations

Tamura, Atsushi, Miyako Tanaka, Yohei Kanamori, et al.. (2023). Lysosomal cholesterol overload in macrophages promotes liver fibrosis in a mouse model of NASH. The Journal of Experimental Medicine. 220(11). 24 indexed citations

Inoue, Takayuki, Bin Fu, Miwako Nishio, et al.. (2023). Novel Therapeutic Potentials of Taxifolin for Obesity-Induced Hepatic Steatosis, Fibrogenesis, and Tumorigenesis. Nutrients. 15(2). 350–350. 10 indexed citations

Ohue‐Kitano, Ryuji, Akari Nishida, Daisuke Takahashi, et al.. (2022). Medium-chain fatty acids suppress lipotoxicity-induced hepatic fibrosis via the immunomodulating receptor GPR84. JCI Insight. 8(2). 19 indexed citations

Hachiya, Rumi, Miyako Tanaka, Michiko Itoh, & Takayoshi Suganami. (2022). Molecular mechanism of crosstalk between immune and metabolic systems in metabolic syndrome. Inflammation and Regeneration. 42(1). 13–13. 39 indexed citations

Yoshida, Tomoaki, Atsunori Tsuchiya, Masaru Kumagai, et al.. (2020). Blocking sphingosine 1-phosphate receptor 2 accelerates hepatocellular carcinoma progression in a mouse model of NASH. Biochemical and Biophysical Research Communications. 530(4). 665–672. 15 indexed citations

Tanaka, Miyako, Kozue Ochi, Yuki Sugiura, et al.. (2020). C-type lectin Mincle mediates cell death–triggered inflammation in acute kidney injury. The Journal of Experimental Medicine. 217(11). 49 indexed citations

10.

Asakawa, M, Michiko Itoh, Takayoshi Suganami, et al.. (2019). Upregulation of cancer-associated gene expression in activated fibroblasts in a mouse model of non-alcoholic steatohepatitis. Scientific Reports. 9(1). 19601–19601. 19 indexed citations

11.

Nakajima, Akira, Sae Hasegawa, Junichiro Irie, et al.. (2017). The short chain fatty acid receptor GPR43 regulates inflammatory signals in adipose tissue M2-type macrophages. PLoS ONE. 12(7). e0179696–e0179696. 110 indexed citations

12.

Mori, Takuya, Norikazu Maeda, Kana Inoue, et al.. (2013). A Novel Role for Adipose Ephrin-B1 in Inflammatory Response. PLoS ONE. 8(10). e76199–e76199. 14 indexed citations

13.

Tanaka, Miyako, Takayoshi Suganami, Chitoku Toda, et al.. (2011). Role of Central Leptin Signaling in the Starvation-Induced Alteration of B-Cell Development. Journal of Neuroscience. 31(23). 8373–8380. 51 indexed citations

14.

Itoh, Michiko, Takayoshi Suganami, Miyako Tanaka, et al.. (2011). Melanocortin 4 Receptor–Deficient Mice as a Novel Mouse Model of Nonalcoholic Steatohepatitis. American Journal Of Pathology. 179(5). 2454–2463. 134 indexed citations

15.

Yamamoto, Takanobu, Takayoshi Suganami, Peggy Scherle, et al.. (2010). Insulin‐Induced Ectodomain Shedding of Heparin‐Binding Epidermal Growth Factor‐Like Growth Factor in Adipocytes In Vitro. Obesity. 18(10). 1888–1894. 3 indexed citations

16.

Satoh, Noriko, Akira Shimatsu, Kazuhiko Kotani, et al.. (2009). Highly purified eicosapentaenoic acid reduces cardio-ankle vascular index in association with decreased serum amyloid A-LDL in metabolic syndrome. Hypertension Research. 32(11). 1004–1008. 73 indexed citations

17.

Kamei, Yasutomi, Takayoshi Suganami, Takashi Kohda, et al.. (2006). Peg1/Mest in obese adipose tissue is expressed from the paternal allele in an isoform‐specific manner. FEBS Letters. 581(1). 91–96. 45 indexed citations

18.

Suganami, Takayoshi, Masashi Mukoyama, Akira Sugawara, et al.. (2001). Overexpression of Brain Natriuretic Peptide in Mice Ameliorates Immune-Mediated Renal Injury. Journal of the American Society of Nephrology. 12(12). 2652–2663. 67 indexed citations

19.

Yokoi, Hideki, Akira Sugawara, Masashi Mukoyama, et al.. (2001). Role of connective tissue growth factor in profibrotic action of transforming growth factor-β: A potential target for preventing renal fibrosis. American Journal of Kidney Diseases. 38(4). S134–S138. 132 indexed citations

20.

Nagae, Tetsuya, Masashi Mukoyama, Akira Sugawara, et al.. (2000). Rat Receptor-Activity-Modifying Proteins (RAMPs) for Adrenomedullin/CGRP Receptor: Cloning and Upregulation in Obstructive Nephropathy. Biochemical and Biophysical Research Communications. 270(1). 89–93. 98 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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